Conditional modification of augmented reality object

ABSTRACT

A server machine modifies an augmented reality (AR) object in response to fulfillment of a condition. The machine provides, to a user device, object data that defines the AR object. The object data specifies a physical geolocation of the AR object, a presentation attribute of the AR object, a conditional modification program, and a trigger condition for execution of the conditional modification program. The object data causes the user device to present the AR object with a first appearance, located at the physical geolocation. The machine detects fulfillment of the trigger condition, and in response, the machine executes the conditional modification program. This modifies the object data by modifying the presentation attribute. The machine provides, to the user device, the modified object data, which causes the user device to present the AR object with a second appearance based on the modified presentation attribute.

CLAIM OF PRIORITY

This application is a continuation of U.S. patent application Ser. No.16/947,955, filed on Aug. 25, 2020, which is a continuation of U.S.patent application Ser. No. 16/868,315, filed on May 6, 2020, which is acontinuation of U.S. patent application Ser. No. 16/043,995, filed onJul. 24, 2018, each of which is incorporated herein by reference intheir entireties.

TECHNICAL FIELD

The subject matter disclosed herein generally relates to the technicalfield of special-purpose machines that facilitate generation andpresentation of computer graphics, including software-configuredcomputerized variants of such special-purpose machines and improvementsto such variants, and to the technologies by which such special-purposemachines become improved compared to other special-purpose machines thatfacilitate generation and presentation of computer graphics.Specifically, the present disclosure addresses systems and methods tofacilitate presentation of an augmented reality (AR) object.

BACKGROUND

A machine (e.g., a user's device) may be configured to interact with oneor more users by generating computer graphics and causing presentationthereof in an AR environment or a virtual reality (VR) environment. Forexample, a user's device in the example form of a smartphone maygenerate AR content (e.g., one or more AR objects) and cause the ARcontent to be displayed to the user (e.g., on a display screen of thesmartphone or a head-mounted display (HMD) controlled by the smartphone).

BRIEF DESCRIPTION OF THE DRAWINGS

Some embodiments are illustrated by way of example and not limitation inthe figures of the accompanying drawings.

FIG. 1 is a network diagram illustrating a network environment suitablefor facilitating conditional modification of an AR object, according tosome example embodiments.

FIG. 2 is a block diagram illustrating components of a server machinesuitable for facilitating conditional modification of an AR object,according to some example embodiments.

FIG. 3 is a block diagram illustrating components of a database suitablefor facilitating conditional modification of an AR object, according tosome example embodiments.

FIGS. 4-9 are flowcharts illustrating operations of the server machinein performing a method of conditionally modifying of an AR object,according to some example embodiments.

FIG. 10 is a block diagram illustrating components of a machine,according to some example embodiments, able to read instructions from amachine-readable medium and perform any one or more of the methodologiesdiscussed herein.

FIG. 11 and FIG. 12 are diagrams illustrating screenshots of an ARobject before and after conditional modification of the AR object,according to some example embodiments.

DETAILED DESCRIPTION

Example methods (e.g., algorithms) facilitate conditional modificationof one or more AR objects, and example systems (e.g., special-purposemachines configured by special-purpose software) are configured tofacilitate conditional modification of one or more AR objects. Examplesmerely typify possible variations. Unless explicitly stated otherwise,structures (e.g., structural components, such as modules) are optionaland may be combined or subdivided, and operations (e.g., in a procedure,algorithm, or other function) may vary in sequence or be combined orsubdivided. In the following description, for purposes of explanation,numerous specific details are set forth to provide a thoroughunderstanding of various example embodiments. It will be evident to oneskilled in the art, however, that the present subject matter may bepracticed without these specific details.

A machine (e.g., a server machine) is configured (e.g., by suitablesoftware, hardware, or both) to provide a consistent set of one or moreAR objects to one or more user devices (e.g., one or more smartphones,game controllers, HMDs, or combinations thereof), and the machine isconfigured to modify one or more of these AR objects in response todetected fulfillment of one or more conditions. For clarity and brevity,the discussion herein focuses on conditional modification of a single ARobject, presented with an appearance of being present in the real world,though the example systems and methods discussed herein are applicableto conditional modification of multiple AR objects similarly presented.

Configured in accordance with the systems and methods discussed herein,the machine provides, to a user device, object data that defines an ARobject. The object data of the AR object, in some example embodiments,specifies four things: (1) a physical geolocation of the AR object, (2)a presentation attribute of the AR object, (3) a conditionalmodification program of the AR object, and (4) a trigger condition forexecution of the conditional modification program. The provided objectdata causes the user device, as well as any number of other user devicesin the area, to present the AR object with a consistent first appearanceand consistently located at the physical geolocation. The machine thendetects fulfillment of the trigger condition specified by the objectdata, and based on the detected fulfillment of the trigger condition,the machine executes the conditional modification program of the ARobject. The executing of the conditional modification program modifiesthe object data of the AR object by modifying the presentation attributeof the AR object. The machine next provides, to the user device, as wellas any other user devices present, the modified object data of the ARobject. The modified object data causes the user device, as well as anyother user device in the area, to present the AR object with aconsistent second appearance that is based on the modified presentationattribute of the AR object.

By causing the AR object to change from its first appearance to itssecond appearance, in accordance with the methodologies describedherein, the machine provides interactivity between the AR object and oneor more users. For example, the detected trigger condition may be orinclude a user or her device intersecting the AR object, and in responseto this intersection, the AR object may change color (e.g., from gray toblue, darker hue to lighter hue, or both) and emit animated sparkles. Asanother example, the detected trigger condition may be or include anincrease in ambient audio loudness, and in response to this increase,the AR object may change color and begin pulsating or flashing. As yetanother example, the detected trigger condition may be or include apattern of sound (e.g., a candidate pattern that matches a referencepattern, which may represent clapping, stomping, or chanting), and inresponse to this pattern of sound, the AR object may change size (e.g.,appear to inflate).

As a further example, the detected trigger condition may be or include auser's device selecting the AR object for editing, and in response tothis selection, the AR object may be displayed with a cursor or othervisual highlight that indicates which portion of the AR object is readyto be edited. This may have the effect of assisting the user in planningor making an edit to the AR object. As a still further example, thedetected trigger condition may be or include an interaction counttransgressing a threshold value (e.g., a minimum or maximum interactioncount), and in response to this transgression, the AR object may bouncevertically in space and emit animated fireworks. This may have theeffect of indicating the attaining of a milestone in the AR object'suser interactivity. As a yet further example, the detected triggercondition may be or include an interaction time transgressing athreshold value (e.g., minimum or maximum interaction time), and inresponse to this transgression, the AR object may change its size, itsphysical geolocation in the real world, or both. This may have theeffect of altering the attractiveness or availability of the AR objectfor further interactions with users.

According to various example embodiments, the conditional modificationprogram may be provided by the machine (e.g., as part of generating theobject data of the AR object) or provided by a user's device (e.g., asan edit to the object data the AR object). In general, the object dataof the AR object may contain one or more user-provided conditionalmodification programs, which may be a subset of all conditionalmodification programs specified for the AR object. In some exampleembodiments, a user-provided conditional modification program isincorporated by the machine into the object data for a specified periodof time (e.g., in exchange for a fee payment or a task performance fromthe user's device). After the specified time period is over, the machinemay remove the user-provided conditional modification program, promptthe user to renew the conditional modification program for an additionalperiod of time, or both.

FIG. 1 is a network diagram illustrating a network environment 100suitable for conditional modification of an AR object, according to someexample embodiments. The network environment 100 includes a servermachine 110, a database 115, and devices 130 and 150, allcommunicatively coupled to each other via a network 190. The servermachine 110, with or without the database 115, may form all or part of acloud 118 (e.g., a geographically distributed set of multiple machinesconfigured to function as a single server), which may form all or partof a network-based system 105 (e.g., a cloud-based server systemconfigured to provide one or more network-based services, such as ARservices, to the devices 130 and 150). The server machine 110, thedatabase 115, and the devices 130 and 150 may each be implemented in aspecial-purpose (e.g., specialized) computer system, in whole or inpart, as described below with respect to FIG. 10.

Also shown in FIG. 1 are users 132 and 152. One or both of the users 132and 152 may be a human user (e.g., a human being), a machine user (e.g.,a computer configured by a software program to interact with the device130 or 150), or any suitable combination thereof (e.g., a human assistedby a machine or a machine supervised by a human). The user 132 isassociated with the device 130 and may be a user of the device 130. Forexample, the device 130 may be a desktop computer, a vehicle computer, ahome media system (e.g., a home theater system or other homeentertainment system), a tablet computer, a navigational device, aportable media device, a smartphone (e.g., with a touchscreen configuredto detect one or more touch gestures), or a wearable device (e.g., anHMD, such as an AR headset, a smart watch, smart glasses, smartclothing, or smart jewelry) belonging to the user 132. Likewise, theuser 152 is associated with the device 150 and may be a user of thedevice 150. As an example, the device 150 may be a desktop computer, avehicle computer, a home media system (e.g., a home theater system orother home entertainment system), a tablet computer, a navigationaldevice, a portable media device, a smartphone (e.g., with a touchscreenconfigured to detect one or more touch gestures), or a wearable device(e.g., an HMD, such as an AR headset, a smart watch, smart glasses,smart clothing, or smart jewelry) belonging to the user 152.

Any of the systems or machines (e.g., databases and devices) shown inFIG. 1 may be, include, or otherwise be implemented in a special-purpose(e.g., specialized or otherwise non-conventional and non-generic)computer that has been modified to perform one or more of the functionsdescribed herein for that system or machine (e.g., configured orprogrammed by special-purpose software, such as one or more softwaremodules of a special-purpose application, operating system, firmware,middleware, or other software program). For example, a special-purposecomputer system able to implement any one or more of the methodologiesdescribed herein is discussed below with respect to FIG. 10, and such aspecial-purpose computer may accordingly be a means for performing anyone or more of the methodologies discussed herein. Within the technicalfield of such special-purpose computers, a special-purpose computer thathas been specially modified (e.g., configured by special-purposesoftware) by the structures discussed herein to perform the functionsdiscussed herein is technically improved compared to otherspecial-purpose computers that lack the structures discussed herein orare otherwise unable to perform the functions discussed herein.Accordingly, a special-purpose machine configured according to thesystems and methods discussed herein provides an improvement to thetechnology of similar special-purpose machines.

As used herein, a “database” is a data storage resource and may storedata structured as a text file, a table, a spreadsheet, a relationaldatabase (e.g., an object-relational database), a triple store, ahierarchical data store, or any suitable combination thereof. Moreover,any two or more of the systems or machines illustrated in FIG. 1 may becombined into a single system or machine, and the functions describedherein for any single system or machine may be subdivided among multiplesystems or machines.

The network 190 may be any network that enables communication between oramong systems, machines, databases, and devices (e.g., between themachine 110 and the device 130). Accordingly, the network 190 may be awired network, a wireless network (e.g., a mobile or cellular network),or any suitable combination thereof. The network 190 may include one ormore portions that constitute a private network, a public network (e.g.,the Internet), or any suitable combination thereof. Accordingly, thenetwork 190 may include one or more portions that incorporate a localarea network (LAN), a wide area network (WAN), the Internet, a mobiletelephone network (e.g., a cellular network), a wired telephone network(e.g., a plain old telephone service (POTS) network), a wireless datanetwork (e.g., a WiFi network or WiMax network), or any suitablecombination thereof. Any one or more portions of the network 190 maycommunicate information via a transmission medium. As used herein,“transmission medium” refers to any intangible (e.g., transitory) mediumthat is capable of communicating (e.g., transmitting) instructions forexecution by a machine (e.g., by one or more processors of such amachine), and includes digital or analog communication signals or otherintangible media to facilitate communication of such software.

FIG. 2 is a block diagram illustrating components of the server machine110, according to some example embodiments. The server machine 110 isshown as including a client interface 210, a trigger condition detector220, and an object modifier 230, all configured to communicate with eachother (e.g., via a bus, shared memory, or a switch). The clientinterface 210 may be or include a client interface module or similarlysuitable software code configured to interface with one or more clientsof the server machine 110 (e.g., one or more of the devices 130 and150). The trigger condition detector 220 may be or include a triggerdetection module or similarly suitable software code configured todetect one or more trigger conditions (e.g., a trigger condition forexecution of a conditional modification program for an AR object). Theobject modifier 230 may be or include a program execution module orsimilarly suitable software code configured to execute a program (e.g.,a conditional modification program for an AR object).

As shown in FIG. 2, the client interface 210, the trigger conditiondetector 220, the object modifier 230, or any suitable combinationthereof, may form all or part of an application 200 (e.g., a server-sideapp or other server-executed program) that is stored (e.g., installed)on the server machine 110 (e.g., responsive to or otherwise as a resultof data being received via the network 190). Furthermore, one or moreprocessors 299 (e.g., hardware processors, digital processors, or anysuitable combination thereof) may be included (e.g., temporarily orpermanently) in the application 200, the client interface 210, thetrigger condition detector 220, the object modifier 230, or any suitablecombination thereof.

Any one or more of the components (e.g., modules) described herein maybe implemented using hardware alone (e.g., one or more of the processors299) or a combination of hardware and software. For example, anycomponent described herein may physically include an arrangement of oneor more of the processors 299 (e.g., a subset of or among the processors299) configured to perform the operations described herein for thatcomponent. As another example, any component described herein mayinclude software, hardware, or both, that configure an arrangement ofone or more of the processors 299 to perform the operations describedherein for that component. Accordingly, different components describedherein may include and configure different arrangements of theprocessors 299 at different points in time or a single arrangement ofthe processors 299 at different points in time. Each component (e.g.,module) described herein is an example of a means for performing theoperations described herein for that component. Moreover, any two ormore components described herein may be combined into a singlecomponent, and the functions described herein for a single component maybe subdivided among multiple components. Furthermore, according tovarious example embodiments, components described herein as beingimplemented within a single system or machine (e.g., a single device)may be distributed across multiple systems or machines (e.g., multipledevices).

FIG. 3 is a block diagram illustrating components of the database 115,according to some example embodiments. The database 115 is shown asstoring object data 300 of an AR object. The object data 300 correspondsto the AR object, defines the AR object, and specifies how the AR objectis to be presented (e.g., visually, acoustically, or both) in an ARenvironment. Accordingly, one or more portions of the object data 300may be considered as metadata of the AR object to which the object data300 corresponds.

As shown in FIG. 3, the object data 300 specifies (e.g., by inclusion orby reference) one or more of various characteristics or otherdescriptors of the AR object. For example, the object data 300 is shownas specifying (e.g., by inclusion) a physical geolocation 310 of the ARobject in the real world. In some example embodiments, the physicalgeolocation 310 is specified by global geolocation coordinates relativeto the earth (e.g., a triplet of latitude, longitude, and altitude). Inother example embodiments, the physical geolocation 310 is specified byrelative geolocation coordinates relative to a room, a building, alandmark, or other suitable frame of reference. In some exampleembodiments, the physical geolocation 310 is treated as a type ofpresentation attribute for presenting the AR object.

The object data 300 may specify physical dimensions 312 of the AR objectin the real world. The physical dimensions 312 may fully or partiallydefine the size of the AR object, the shape of the AR object, theorientation of the AR object, or any suitable combination thereof. Forexample, the physical dimensions 312 may specify one or more lineardimensions (e.g., length, width, and height) of the AR object. In someexample embodiments, the physical dimensions 312 are treated aspresentation attributes for presenting the AR object.

The object data 300 may specify one or more presentation attributes 320and 322 (e.g., additional presentation attributes beyond the physicalgeolocation 310 and the physical dimensions 312) of the AR object. Apresentation attribute specifies how the AR object is to be presented(e.g., visually, acoustically, haptically, or any suitable combinationthereof). Examples of a presentation attribute include a color of the ARobject, a color pattern (e.g., chroma texture map) applied to the ARobject, a brightness of the AR object, a brightness pattern (e.g., aluma texture map) applied to the AR object, a flash indicator of the ARobject (e.g., to indicate whether the AR object should be displayed in aflashing state), a movement indicator of the AR object (e.g., toindicate whether the AR object should be displayed in a verticallybouncing state, horizontally jiggling state, or both), an audio file ofthe AR object (e.g., to be played when one or more users is physicallywithin a threshold distance of the physical geolocation 310 of the ARobject), an audio volume of the AR object (e.g., to provide a basis foraudio playback of the audio file of the AR object), or any suitablecombination thereof.

The object data 300 may specify one or more pairs of conditionalmodification programs of the AR object, each with one or morecorresponding trigger conditions for execution of that conditionalmodification program. FIG. 3 illustrates a conditional modificationprogram 330 paired with a corresponding trigger condition 332, as wellas another conditional modification program 340 paired with acorresponding trigger condition 342. Accordingly, if the triggercondition detector 220 (e.g., in the server machine 110) detectsfulfillment of the trigger condition 332, the corresponding conditionalmodification program 330 is executed (e.g., by the object modifier 230in the server machine 110). Similarly, if the trigger condition detector220 detects fulfillment of the trigger condition 342, the correspondingconditional modification program 340 is executed.

According to some example embodiments, the object data 300 specifies atotal interaction count 350, which may quantify (e.g., by enumerating) atotal number of discrete user interactions experienced by the AR object.The total interaction count 350 may be paired with one or morecorresponding demographic interaction counts. FIG. 3 illustrates thetotal interaction count 350 paired with a single correspondingdemographic interaction count 352, though additional correspondingdemographic interaction counts may also be included in the object data300 and associated with (e.g., linked, mapped, or otherwise assigned to)the total interaction count 350. The demographic interaction count 352may quantify a total number of discrete user interactions experienced bythe AR object with users from a particular demographic group (e.g.,defined by age, gender, education, occupation, favorite ice creamflavor, any other demographic descriptor, or any suitable combinationthereof).

According to certain example embodiments, the object data 300 specifiesa total interaction time 360, which may quantify (e.g., by valuing) atotal amount of time during which the AR object experienced userinteractions. The total interaction time 360 may be paired with one morecorresponding demographic interaction times. FIG. 3 illustrates thetotal interaction time 360 being paired with a single correspondingdemographic interaction time 362, though additional correspondingdemographic interaction times may also be included in the object data300 and associated with (e.g., linked, mapped, or otherwise assigned to)the total interaction time 360. The demographic interaction time 362 mayquantify a total amount of time during which the object experienced userinteractions with users from a particular demographic group (e.g.,defined by age, gender, education, occupation, favorite ice creamflavor, any other demographic descriptor, or any suitable combinationthereof).

FIGS. 4-9 are flowcharts illustrating operations in performing a method400 of conditionally modifying of an AR object, according to someexample embodiments. For clarity and brevity, operations in the method400 are presently described as being performed by the server machine110, using components (e.g., modules) described above with respect toFIG. 2, using one or more processors (e.g., microprocessors or otherhardware processors), or using any suitable combination thereof.However, in various example embodiments, the method 400 may be performedby the device 130, alone or in conjunction with one or more othermachines (e.g., the server machine 110, the database 115, or the device150). As shown in FIG. 4, the method 400 includes operations 410, 420,430, and 440.

In operation 410, the client interface 210 provides the object data 300to the device 130. For example, the client interface 210 may retrievethe object data 300 from the database 115 and provide the object data300 to the device 130 via the network 190. As another example, theclient interface 210 may command or otherwise cause the database 115 toprovide the object data 300 to the device 130. As noted above, theobject data 300 corresponds to an AR object and specifies, for example,the physical geolocation 310, the presentation attribute 320 (e.g.,color or size), the conditional modification program 330, and thecorresponding trigger condition 332. The object data 300 causes thedevice 130 to present (e.g., via a display screen or an AR headset) theAR object defined by the object data 300. In accordance with theprovided object data 300, the device 130 presents the AR object at thephysical geolocation 310 and with a first appearance (e.g., visualappearance, acoustic appearance, or both) specified by the object data300 (e.g., specified by the presentation attribute 320).

In operation 420, the trigger condition detector 220 detects that thetrigger condition 332 has been fulfilled. This may be performed byreceiving an indicator or other signal from the client interface 210(e.g., as a result of a status message being received by the clientinterface 210 via the network 190 from the device 130). As noted above,the trigger condition 332 corresponds to the conditional modificationprogram 330, and the object data 300 of the AR object specifies that thetrigger condition 332 is a trigger for executing the correspondingconditional modification program 330 to modify the AR object.

To illustrate an example, suppose that the trigger condition 332 forexecuting the conditional modification program 330 specifies receptionof an indication that a portion of the AR object is being edited. Inthis situation, the detecting in operation 420 that the triggercondition 332 has been fulfilled may include receiving such anindication (e.g., from the device 130 via the network 190) that aportion of the AR object is being edited.

To illustrate another example, suppose that the trigger condition 332for executing the conditional modification program 330 specifies athreshold level (e.g., a reference threshold level) of ambient audioloudness. In such a situation, the detecting in operation 420 that thetrigger condition 332 has been fulfilled may include receiving anindication that a microphone of the device 130 has detected an actuallevel of ambient audio loudness that transgresses (e.g., meets orexceeds) the threshold level of ambient audio loudness.

To illustrate a further example, suppose that the trigger condition 332specifies a reference pattern of sounds (e.g., clapping or a song, suchas “The Star-Spangled Banner”). In such a situation, the detecting inoperation 420 that the trigger condition 332 has been fulfilled mayinclude receiving an indication that the microphone of the device 130has captured an actual pattern of sounds that matches the referencepattern of sounds.

In operation 430, the object modifier 230 executes the conditionalmodification program 330 that corresponds to the trigger condition 332that was detected to be fulfilled in operation 420. This is performed inresponse to the detected fulfillment of the trigger condition 332.Accordingly, the execution of the conditional modification program 330modifies the object data 300 of the AR object and consequently modifiesthe AR object. For example, execution of the conditional modificationprogram 330 may modify the object data 300 by modifying the presentationattribute 320 (e.g., color or size) within the object data 300. Themodification of the object data 300 may occur within the database 115,within the server machine 110 (e.g., within a memory of the servermachine 110), or within any suitable combination thereof.

To illustrate an example, suppose that that the trigger condition 332for executing the conditional modification program 330 specifiesreception of an indication that a portion of the AR object is beingedited. In this situation, in response to a detection in operation 420that the trigger condition 332 has been fulfilled, the executing of theconditional modification program 330 may add an AR cursor to the ARobject in its second appearance, and the added AR cursor may indicatethat the portion of the AR object is being edited. For example, the ARcursor may indicate a location of a non-committed edit to the AR object(e.g., an edit that is not yet saved or otherwise persistentlyincorporated into the object data 300 of the AR object).

In operation 440, the client interface 210 provides at least themodified portion of the object data 300 to the device 130. For example,the entirety of the modified object data 300 may be communicated to thedevice 130 via the network 190, or the modified presentation attribute320 (e.g., size or color of the AR object) may be communicated to thedevice 130 via the network 190. In some example embodiments, themodified object data 300 is stored in the database 115, and the clientinterface 210 commands or otherwise causes the device 130 to retrieve atleast the modified portion (e.g., the modified presentation attribute320) of the object data 300 via the network 190. The modified objectdata 300 causes the device 130 to present (e.g., via a display screen oran AR headset) the AR object in modified form, as modified in accordancewith a modified object data 300. Thus, in accordance with the modifiedobject data 300, the device 130 presents the AR object with a secondappearance specified by the modified object data 300 (e.g., specified bythe modified presentation attribute 320).

For example, the presentation attribute modified in operation 430 (e.g.,presentation attribute 320 or physical dimensions 312) may specify aphysical dimension (e.g., length, width, height, depth, thickness, orany suitable combination thereof) of the AR object, and that physicaldimension may fully or partially determine the real-world size of the ARobject. Accordingly, the executing of the conditional modificationprogram 330 in operation 430 may modify this physical dimension of theAR object and consequently alter the real-world size of the AR object,as presented with its second appearance.

As another example, the presentation attribute modified in operation 430(e.g., presentation attribute 320) may specify a color (e.g., hue,saturation, brightness, or any suitable combination thereof) of at leasta portion of the AR object. Accordingly, the executing of theconditional modification program 330 in operation 430 may modify thiscolor of the AR object and consequently alter the color of at least aportion of the AR object, as presented with its second appearance.

As a further example, the presentation attribute modified in operation430 (e.g., presentation attribute 320 or physical geolocation 310) mayspecify the physical geolocation of the AR object in the real world, andthat physical geolocation may fully or partially determine thereal-world geolocation of the AR object. Accordingly, the executing ofthe conditional modification program 330 in operation 430 may modifythis real-world geolocation of the AR object and consequently alterwhere the AR object is presented relative to the real world, inaccordance with its second appearance.

As shown in FIG. 5, in addition to any one or more of the operationspreviously described, the method 400 may include one or more ofoperations 510, 512, 520, 530, 532, 534, 540, and 542. According to someexample embodiments, operations 510 and in 512 are performed prior tooperation 420, in which the trigger condition detector 220 detectsfulfillment of the trigger condition 332.

In operation 510, the client interface 210 receives an indication thatthe device 130 submitted an edit to the AR object (e.g., an edit in theform of a newly added portion, removal of an existing portion, ormodification to an existing portion of the AR object). For example, theclient interface 210 may receive a request that an edit be performed onthe AR object (e.g., stored in the object data 300 or otherwisepersistently incorporated into the definition of the AR object), andsuch a request may be received by the network 190 from the device 130.In some example embodiments, the received indication also refers to auser profile (e.g., stored by the device 130, the server machine 110,the database 115, or any suitable combination thereof) that describesthe user 132 and indicates that the user 132 belongs to a particulardemographic group (e.g., single women between ages 25 and 40 whosefavorite ice cream flavor is chocolate).

In operation 512, the client interface 210 increments an interactioncount that corresponds to the AR object (e.g., the total interactioncount 350, the demographic interaction count 352, or both), in responseto the indication received in operation 510. For example, the clientinterface 210 may increment the total interaction count 350 thatcorresponds to the AR object. As another example, if the receivedindication in operation 510 indicates that the user 132 is a member of aparticular demographic group (e.g., single women between 25 and 40 whosefavorite ice cream flavor is chocolate), the demographic interactioncount for that particular demographic group (e.g., demographicinteraction count 352) may be incremented by the client interface 210.In such a situation, the total interaction count 350 may also beincremented as well (e.g., to tally user interactions of multiple kinds,from multiple demographic groups, or both).

In example embodiments that include operation 512, operation 520 may beperformed as part (e.g., a precursor task, a subroutine, or a portion)of operation 420, in which the trigger condition detector 220 detectsfulfillment of the trigger condition 332. In operation 520, the triggercondition detector 220 performs a comparison of the interaction count(e.g., the total interaction count 350 or the demographic interactioncount 352) incremented in operation 512 to a corresponding thresholdinteraction count (e.g., a predetermined total interaction count or apredetermined demographic interaction count, either of which may be amaximum interaction count or a minimum interaction count).

Accordingly, the detection of the fulfillment of the trigger condition332 in operation 420 may be based on the comparison performed inoperation 520. For example, if the total interaction count 350 wasincremented in operation 512, the trigger condition detector 220 maycompare the total interaction count 350 to a reference total interactioncount (e.g., a maximum interaction count of all types and from allusers). As another example, if the demographic interaction count 352 wasincremented in operation 512, the trigger condition detector 220 maycompare the demographic interaction count 352 to a reference demographicinteraction count (e.g., a maximum interaction count or a minimuminteraction count for that demographic group).

As shown in FIG. 5, one or more of operations 530, 532, and 534 may beperformed as part of operation 430, in which the object modifier 230executes the conditional modification program 330 to modify the objectdata 300 of the AR object. In operation 530, the object modifier 230modifies a physical dimension (e.g., as specified by the presentationattribute 320 or the physical dimensions 312) of the AR object byexecuting the conditional modification program 330. As noted above, thismay have the effect of altering the real-world size of the AR object, aspresented with its second appearance.

In operation 532, the object modifier 230 modifies the physicalgeolocation (e.g., specified by the presentation attribute 320 or thephysical geolocation 310) of the AR object by executing the conditionalmodification program 330. As noted above, this may have the effect ofaltering where the AR object is presented relative to the real world,according to its second appearance.

In operation 534, the object modifier 230 modifies a presentationattribute (e.g., specified by the presentation attribute 320, which may,for example, specify color) of the AR object by executing theconditional modification program 330. As noted above, this may have theeffect of altering the appearance of the AR object from its firstappearance to its second appearance.

As shown in FIG. 5, one or more of operations 540 and 542 may beperformed after operation 430, in which the object modifier 230 executesthe conditional modification program 330 to modify the object data 300of the AR object. In operation 540, the client interface 210 generates ageographical map (e.g., a map that illustrates roads and landmarkswithin a geographical area, such as a city). The geographical mapincludes a depiction or other representation (e.g., symbolicrepresentation) of the AR object and indicates the physical geolocation310 of the AR object. In addition, the depiction or other representationmay have a color that indicates a frequency (e.g., averaging five timesa day, twice a week, or once a month) or range of frequencies at whichthe AR object is edited (e.g., by user interactions). For example, agray depiction may indicate that the AR object is edited by users lessthan once a week, while a blue depiction may indicate that the AR objectis edited by users more than once a week.

In operation 542, the client interface 210 provides the geographical mapgenerated in operation 540 to one or more devices. For example, thegeographical map may be provided to the device 150 (e.g., as a guide forthe user 152 to locate the AR object for further interaction, such asediting). Accordingly, the color of the depiction of the AR objectwithin the provided geographical map can notify the user 152 of howoften the AR object is edited.

As shown in FIG. 6, in addition to any one or more of the operationspreviously described, the method 400 may include one or more ofoperations 610, 612, and 620. According to some example embodiments,operation 610 and 612 are performed prior to operation 420, in which thetrigger condition detector 220 detects fulfillment of the triggercondition 332.

In operation 610, the client interface 210 receives an indication thatthe device 130 has been editing the AR object or has edited the ARobject for a period of time (e.g., a period of time during which the ARobject has been kept in an editing state or other edit-accepting state).For example, the client interface 210 may receive a request that the ARobject be unlocked for editing (e.g., with write-permissions for theobject data 300 that defines the AR object), and such a request may bereceived by the network 190 from the device 130. In some exampleembodiments, the received indication also refers to a user profile(e.g., stored by the device 130, the server machine 110, the database115, or any suitable combination thereof) that describes the user 132and indicates that the user 132 belongs to a particular demographicgroup (e.g., married men between ages 40 and 55 whose favorite ice creamflavor is vanilla).

In operation 612, the client interface 210 updates an interaction timethat corresponds to the AR object (e.g., the total interaction time 360,the demographic interaction time 362, or both), in response to theindication received in operation 610. For example, the client interface210 may update the total interaction time 360 that corresponds to the ARobject. As another example, if the received indication in operation 610indicates that the user 132 is a member of a particular demographicgroup (e.g., married men between 40 and 55 whose favorite ice creamflavor is vanilla), the demographic interaction time for that particulardemographic group (e.g., demographic interaction time 362) may beupdated by the client interface 210. In such a situation, the totalinteraction time 360 may also be incremented as well (e.g., to trackcumulative user interaction times from multiple demographic groups).

In example embodiments that include operation 612, operation 620 may beperformed as part of operation 420, in which the trigger conditiondetector 220 detects fulfillment of the trigger condition 332. Inoperation 620, the trigger condition detector 220 performs a comparisonof the interaction time (e.g., the total interaction time 360 or thedemographic interaction time 362) updated in operation 512 to acorresponding threshold interaction time (e.g., a predetermined totalinteraction time or a predetermined demographic interaction time, eitherof which may be a maximum interaction time or a minimum interactiontime).

Accordingly, the detection of the fulfillment of the trigger condition332 in operation 420 may be based on the comparison performed inoperation 620. For example, if the total interaction time 360 wasupdated in operation 612, the trigger condition detector 220 may comparethe total interaction time 360 to a reference total interaction time(e.g., a maximum interaction time for all users). As another example, ifthe demographic interaction time 362 was updated in operation 612, thetrigger condition detector 220 may compare the demographic interactiontime 362 to a reference demographic interaction time (e.g., a maximuminteraction time or a minimum interaction time for that demographicgroup).

As shown in FIG. 7, in addition to any one or more of the operationspreviously described, the method 400 may include one or more ofoperations 710, 512, and 520, the latter two of which have beenpreviously described. According to some example embodiments, operations710 and in 512 are performed prior to operation 420, in which thetrigger condition detector 220 detects fulfillment of the triggercondition 332.

In operation 710, the client interface 210 receives an indication thatthe device 130 has intersected the AR object (e.g., an indication thatthe geolocation of the device 130 has coincided with the physicalgeolocation 310 of the AR object or has been encompassed by an outersurface of the AR object, as defined by the physical dimensions 312 ofthe AR object). For example, the client interface 210 may receive suchan indication in the form of geolocation data of the device 130, whichgeolocation data may be received by the network 190 from the device 130.In some example embodiments, the received indication also refers to auser profile (e.g., stored by the device 130, the server machine 110,the database 115, or any suitable combination thereof) that describesthe user 132 and indicates that the user 132 belongs to a particulardemographic group (e.g., married women between ages 55 and 70 whosefavorite ice cream flavor is coffee).

As noted above, in operation 512, the client interface 210 increments aninteraction count that corresponds to the AR object (e.g., the totalinteraction count 350, the demographic interaction count 352, or both).This may be performed in response to the indication received inoperation 710. For example, the client interface 210 may increment thetotal interaction count 350 that corresponds to the AR object. Asanother example, if the received indication in operation 710 indicatesthat the user 132 is a member of a particular demographic group (e.g.,married women between 55 and 70 whose favorite ice cream flavor iscoffee), the demographic interaction count for that particulardemographic group (e.g., demographic interaction count 352) may beincremented by the client interface 210. In such a situation, the totalinteraction count 350 may also be incremented as well (e.g., to tallyuser interactions of multiple kinds, from multiple demographic groups,or both).

As noted above, in example embodiments that include operation 512,operation 520 may be performed as part (e.g., a precursor task, asubroutine, or a portion) of operation 420, in which the triggercondition detector 220 detects fulfillment of the trigger condition 332.In operation 520, the trigger condition detector 220 performs acomparison of the interaction count (e.g., the total interaction count350 or the demographic interaction count 352) incremented in operation512 to a corresponding threshold interaction count (e.g., apredetermined total interaction count or a predetermined demographicinteraction count, either of which may be a maximum interaction count ora minimum interaction count).

Accordingly, the detection of the fulfillment of the trigger condition332 in operation 420 may be based on the comparison performed inoperation 520. For example, if the total interaction count 350 wasincremented in operation 512, the trigger condition detector 220 maycompare the total interaction count 350 to a reference total interactioncount (e.g., a maximum interaction count of all types and from allusers). As another example, if the demographic interaction count 352 wasincremented in operation 512, the trigger condition detector 220 maycompare the demographic interaction count 352 to a reference demographicinteraction count (e.g., a maximum interaction count or a minimuminteraction count for that demographic group).

As shown in FIG. 8, in addition to any one or more of the operationspreviously described, the method 400 may include one or more ofoperations 810, 612, and 620, the latter two of which have beenpreviously described. According to some example embodiments, operation810 and 612 are performed prior to operation 420, in which the triggercondition detector 220 detects fulfillment of the trigger condition 332.

In operation 810, the client interface 210 receives an indication thatthe device 130 has been intersecting the AR object or has intersectedthe AR object for a period of time (e.g., a period of time during whichthe geolocation of the device 130 has coincided with the physicalgeolocation 310 of the AR object or has been encompassed by an outersurface of the AR object, as defined by the physical dimensions 312 ofthe AR object). For example, the client interface 210 may receive astatus message indicating a running tally of intersection time, and sucha status message may be received by the network 190 from the device 130.In some example embodiments, the received indication also refers to auser profile (e.g., stored by the device 130, the server machine 110,the database 115, or any suitable combination thereof) that describesthe user 132 and indicates that the user 132 belongs to a particulardemographic group (e.g., married men between ages 40 and 55 whosefavorite ice cream flavor is vanilla).

As noted above, in operation 612, the client interface 210 updates aninteraction time that corresponds to the AR object (e.g., the totalinteraction time 360, the demographic interaction time 362, or both).This may be performed in response to the indication received inoperation 810. For example, the client interface 210 may update thetotal interaction time 360 that corresponds to the AR object. As anotherexample, if the received indication in operation 810 indicates that theuser 132 is a member of a particular demographic group (e.g., marriedwomen between 55 and 70 whose favorite ice cream flavor is coffee), thedemographic interaction time for that particular demographic group(e.g., demographic interaction time 362) may be updated by the clientinterface 210. In such a situation, the total interaction time 360 mayalso be incremented as well (e.g., to track cumulative user interactiontimes from multiple demographic groups).

As noted above, in example embodiments that include operation 612,operation 620 may be performed as part of operation 420, in which thetrigger condition detector 220 detects fulfillment of the triggercondition 332. In operation 620, the trigger condition detector 220performs a comparison of the interaction time (e.g., the totalinteraction time 360 or the demographic interaction time 362) updated inoperation 512 to a corresponding threshold interaction time (e.g., apredetermined total interaction time or a predetermined demographicinteraction time, either of which may be a maximum interaction time or aminimum interaction time).

Accordingly, the detection of the fulfillment of the trigger condition332 in operation 420 may be based on the comparison performed inoperation 620. For example, if the total interaction time 360 wasupdated in operation 612, the trigger condition detector 220 may comparethe total interaction time 360 to a reference total interaction time(e.g., a maximum interaction time for all users). As another example, ifthe demographic interaction time 362 was updated in operation 612, thetrigger condition detector 220 may compare the demographic interactiontime 362 to a reference demographic interaction time (e.g., a maximuminteraction time or a minimum interaction time for that demographicgroup).

As shown in FIG. 9, in addition to any one or more of the operationspreviously described, the method 400 may include one or more ofoperations 900, 902, and 920. FIG. 9 illustrates operations 900 and 902being performed prior to operation 410, in which the client interface210 provides the object data 300 of the AR object to the device 130.

In operation 900, the client interface 210 receives a user submissionthat includes or otherwise identifies (e.g., by reference) theconditional modification program 330. That is, the conditionalmodification program 330 may be user-submitted (e.g., by the user 132 orby the user 152). Thus, the client interface 210 may receive the usersubmission (e.g., within a request or other message) via the network 190from the device 130 or from the device 150. The user submission may alsoinclude the corresponding trigger condition 332 for execution of theconditional modification program 330. In some example embodiments, theuser submission further includes a corresponding value accorded to theconditional modification program 330 (e.g., a value that indicates a bidor fee paid for incorporating the submitted conditional modificationprogram 330 into the object data 300 of the AR object).

In operation 902, the client interface 210 determines a period of timeduring which the submitted conditional modification program 330 is to bespecified (e.g., by inclusion or by reference) by the object data 300that defines the AR object. In some example embodiments, this may beperformed based on (e.g., in response to) the value accorded to theconditional modification program 330. For example, the user 152 may havepaid a fee to have the submitted conditional modification program 330temporarily incorporated into the object data 300 of the AR object, andthis fee may be reflected in the submission received in operation 900.Accordingly, the client interface 210 may determine (e.g., via a lookuptable stored by the database 115) a time period that corresponds to theamount of the fee paid, such that the client interface 210 can add theconditional modification program 330 and its trigger condition 332 tothe object data 300 during the time period, and then remove theconditional modification program 330 and its trigger condition 332 fromthe object data 300 after expiration of the time period.

In example embodiments that include operation 902, operation 920 may beperformed as part of operation 420, in which the trigger conditiondetector 220 to detect fulfillment of the trigger condition 332. Inoperation 920, the trigger condition detector 220 detects thefulfillment of the trigger condition 332 during the period of time thatwas determined in operation 902 for the corresponding conditionalmodification program 330.

According to various example embodiments, one or more of themethodologies described herein may facilitate conditional modificationof an AR object. Moreover, one or more of the methodologies describedherein may facilitate dynamic behavior of the AR object in response toone or more of various user interactions, cumulative user interactions,or both. In addition, one or more of the methodologies described hereinare operable to improve the variety of interactive experiences providedby an AR object, including support of user-submitted conditionalmodification programs and corresponding trigger conditions. Hence, oneor more of the methodologies described herein may facilitate provisionof crowd-sourced creative experiences with one or more AR objects, aswell as regularly refreshed or updated AR content that is more resistantto loss of user interest or user engagement, compared to capabilities ofpre-existing systems and methods.

When these effects are considered in aggregate, one or more of themethodologies described herein may obviate a need for certain efforts orresources that otherwise would be involved in conditional modificationof an AR object. Efforts expended by a user in configuring sophisticatedconditional modifications to an AR object may be reduced by use of(e.g., reliance upon) a special-purpose machine that implements one ormore of the methodologies described herein. Computing resources used byone or more systems or machines (e.g., within the network environment100) may similarly be reduced (e.g., compared to systems or machinesthat lack the structures discussed herein or are otherwise unable toperform the functions discussed herein). Examples of such computingresources include processor cycles, network traffic, computationalcapacity, main memory usage, graphics rendering capacity, graphicsmemory usage, data storage capacity, power consumption, and coolingcapacity.

FIG. 10 is a block diagram illustrating components of a machine 1000,according to some example embodiments, able to read instructions 1024from a machine-readable medium 1022 (e.g., a non-transitorymachine-readable medium, a machine-readable storage medium, acomputer-readable storage medium, or any suitable combination thereof)and perform any one or more of the methodologies discussed herein, inwhole or in part. Specifically, FIG. 10 shows the machine 1000 in theexample form of a computer system (e.g., a computer) within which theinstructions 1024 (e.g., software, a program, an application, an applet,an app, or other executable code) for causing the machine 1000 toperform any one or more of the methodologies discussed herein may beexecuted, in whole or in part.

In alternative embodiments, the machine 1000 operates as a standalonedevice or may be communicatively coupled (e.g., networked) to othermachines. In a networked deployment, the machine 1000 may operate in thecapacity of a server machine or a client machine in a server-clientnetwork environment, or as a peer machine in a distributed (e.g.,peer-to-peer) network environment. The machine 1000 may be a servercomputer, a client computer, a personal computer (PC), a tabletcomputer, a laptop computer, a netbook, a cellular telephone, a smartphone, a set-top box (STB), a personal digital assistant (PDA), a webappliance, a network router, a network switch, a network bridge, or anymachine capable of executing the instructions 1024, sequentially orotherwise, that specify actions to be taken by that machine. Further,while only a single machine is illustrated, the term “machine” shallalso be taken to include any collection of machines that individually orjointly execute the instructions 1024 to perform all or part of any oneor more of the methodologies discussed herein.

The machine 1000 includes a processor 1002 (e.g., one or more centralprocessing units (CPUs), one or more graphics processing units (GPUs),one or more digital signal processors (DSPs), one or more applicationspecific integrated circuits (ASICs), one or more radio-frequencyintegrated circuits (RFICs), or any suitable combination thereof), amain memory 1004, and a static memory 1006, which are configured tocommunicate with each other via a bus 1008. The processor 1002 containssolid-state digital microcircuits (e.g., electronic, optical, or both)that are configurable, temporarily or permanently, by some or all of theinstructions 1024 such that the processor 1002 is configurable toperform any one or more of the methodologies described herein, in wholeor in part. For example, a set of one or more microcircuits of theprocessor 1002 may be configurable to execute one or more modules (e.g.,software modules) described herein. In some example embodiments, theprocessor 1002 is a multicore CPU (e.g., a dual-core CPU, a quad-coreCPU, an 8-core CPU, or a 128-core CPU) within which each of multiplecores behaves as a separate processor that is able to perform any one ormore of the methodologies discussed herein, in whole or in part.Although the beneficial effects described herein may be provided by themachine 1000 with at least the processor 1002, these same beneficialeffects may be provided by a different kind of machine that contains noprocessors (e.g., a purely mechanical system, a purely hydraulic system,or a hybrid mechanical-hydraulic system), if such a processor-lessmachine is configured to perform one or more of the methodologiesdescribed herein.

The machine 1000 may further include a graphics display 1010 (e.g., aplasma display panel (PDP), a light emitting diode (LED) display, aliquid crystal display (LCD), a projector, a cathode ray tube (CRT), orany other display capable of displaying graphics or video). The machine1000 may also include an alphanumeric input device 1012 (e.g., akeyboard or keypad), a pointer input device 1014 (e.g., a mouse, atouchpad, a touchscreen, a trackball, a joystick, a stylus, a motionsensor, an eye tracking device, a data glove, or other pointinginstrument), a data storage 1016, an audio generation device 1018 (e.g.,a sound card, an amplifier, a speaker, a headphone jack, or any suitablecombination thereof), and a network interface device 1020.

The data storage 1016 (e.g., a data storage device) includes themachine-readable medium 1022 (e.g., a tangible and non-transitorymachine-readable storage medium) on which are stored the instructions1024 embodying any one or more of the methodologies or functionsdescribed herein. The instructions 1024 may also reside, completely orat least partially, within the main memory 1004, within the staticmemory 1006, within the processor 1002 (e.g., within the processor'scache memory), or any suitable combination thereof, before or duringexecution thereof by the machine 1000. Accordingly, the main memory1004, the static memory 1006, and the processor 1002 may be consideredmachine-readable media (e.g., tangible and non-transitorymachine-readable media). The instructions 1024 may be transmitted orreceived over the network 190 via the network interface device 1020. Forexample, the network interface device 1020 may communicate theinstructions 1024 using any one or more transfer protocols (e.g.,hypertext transfer protocol (HTTP)).

In some example embodiments, the machine 1000 may be a portablecomputing device (e.g., a smart phone, a tablet computer, or a wearabledevice) and may have one or more additional input components 1030 (e.g.,sensors or gauges). Examples of such input components 1030 include animage input component (e.g., one or more cameras), an audio inputcomponent (e.g., one or more microphones), a direction input component(e.g., a compass), a location input component (e.g., a globalpositioning system (GPS) receiver), an orientation component (e.g., agyroscope), a motion detection component (e.g., one or moreaccelerometers), an altitude detection component (e.g., an altimeter), atemperature input component (e.g., a thermometer), and a gas detectioncomponent (e.g., a gas sensor). Input data gathered by any one or moreof these input components 1030 may be accessible and available for useby any of the modules described herein (e.g., with suitable privacynotifications and protections, such as opt-in consent or opt-outconsent, implemented in accordance with user preference, applicableregulations, or any suitable combination thereof).

As used herein, the term “memory” refers to a machine-readable mediumable to store data temporarily or permanently and may be taken toinclude, but not be limited to, random-access memory (RAM), read-onlymemory (ROM), buffer memory, flash memory, and cache memory. While themachine-readable medium 1022 is shown in an example embodiment to be asingle medium, the term “machine-readable medium” should be taken toinclude a single medium or multiple media (e.g., a centralized ordistributed database, or associated caches and servers) able to storeinstructions. The term “machine-readable medium” shall also be taken toinclude any medium, or combination of multiple media, that is capable ofcarrying (e.g., storing or communicating) the instructions 1024 forexecution by the machine 1000, such that the instructions 1024, whenexecuted by one or more processors of the machine 1000 (e.g., processor1002), cause the machine 1000 to perform any one or more of themethodologies described herein, in whole or in part. Accordingly, a“machine-readable medium” refers to a single storage apparatus ordevice, as well as cloud-based storage systems or storage networks thatinclude multiple storage apparatus or devices. The term“machine-readable medium” shall accordingly be taken to include, but notbe limited to, one or more tangible and non-transitory data repositories(e.g., data volumes) in the example form of a solid-state memory chip,an optical disc, a magnetic disc, or any suitable combination thereof.

A “non-transitory” machine-readable medium, as used herein, specificallyexcludes propagating signals per se. According to various exampleembodiments, the instructions 1024 for execution by the machine 1000 canbe communicated via a carrier medium (e.g., a machine-readable carriermedium). Examples of such a carrier medium include a non-transientcarrier medium (e.g., a non-transitory machine-readable storage medium,such as a solid-state memory that is physically movable from one placeto another place) and a transient carrier medium (e.g., a carrier waveor other propagating signal that communicates the instructions 1024).

Certain example embodiments are described herein as including modules.Modules may constitute software modules (e.g., code stored or otherwiseembodied in a machine-readable medium or in a transmission medium),hardware modules, or any suitable combination thereof. A “hardwaremodule” is a tangible (e.g., non-transitory) physical component (e.g., aset of one or more processors) capable of performing certain operationsand may be configured or arranged in a certain physical manner. Invarious example embodiments, one or more computer systems or one or morehardware modules thereof may be configured by software (e.g., anapplication or portion thereof) as a hardware module that operates toperform operations described herein for that module.

In some example embodiments, a hardware module may be implementedmechanically, electronically, hydraulically, or any suitable combinationthereof. For example, a hardware module may include dedicated circuitryor logic that is permanently configured to perform certain operations. Ahardware module may be or include a special-purpose processor, such as afield programmable gate array (FPGA) or an ASIC. A hardware module mayalso include programmable logic or circuitry that is temporarilyconfigured by software to perform certain operations. As an example, ahardware module may include software encompassed within a CPU or otherprogrammable processor. It will be appreciated that the decision toimplement a hardware module mechanically, hydraulically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software) may be driven by cost and timeconsiderations.

Accordingly, the phrase “hardware module” should be understood toencompass a tangible entity that may be physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Furthermore, as used herein, the phrase“hardware-implemented module” refers to a hardware module. Consideringexample embodiments in which hardware modules are temporarily configured(e.g., programmed), each of the hardware modules need not be configuredor instantiated at any one instance in time. For example, where ahardware module includes a CPU configured by software to become aspecial-purpose processor, the CPU may be configured as respectivelydifferent special-purpose processors (e.g., each included in a differenthardware module) at different times. Software (e.g., a software module)may accordingly configure one or more processors, for example, to becomeor otherwise constitute a particular hardware module at one instance oftime and to become or otherwise constitute a different hardware moduleat a different instance of time.

Hardware modules can provide information to, and receive informationfrom, other hardware modules. Accordingly, the described hardwaremodules may be regarded as being communicatively coupled. Where multiplehardware modules exist contemporaneously, communications may be achievedthrough signal transmission (e.g., over circuits and buses) between oramong two or more of the hardware modules. In embodiments in whichmultiple hardware modules are configured or instantiated at differenttimes, communications between such hardware modules may be achieved, forexample, through the storage and retrieval of information in memorystructures to which the multiple hardware modules have access. Forexample, one hardware module may perform an operation and store theoutput of that operation in a memory (e.g., a memory device) to which itis communicatively coupled. A further hardware module may then, at alater time, access the memory to retrieve and process the stored output.Hardware modules may also initiate communications with input or outputdevices, and can operate on a resource (e.g., a collection ofinformation from a computing resource).

The various operations of example methods described herein may beperformed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implemented modulesthat operate to perform one or more operations or functions describedherein. As used herein, “processor-implemented module” refers to ahardware module in which the hardware includes one or more processors.Accordingly, the operations described herein may be at least partiallyprocessor-implemented, hardware-implemented, or both, since a processoris an example of hardware, and at least some operations within any oneor more of the methods discussed herein may be performed by one or moreprocessor-implemented modules, hardware-implemented modules, or anysuitable combination thereof.

Moreover, such one or more processors may perform operations in a “cloudcomputing” environment or as a service (e.g., within a “software as aservice” (SaaS) implementation). For example, at least some operationswithin any one or more of the methods discussed herein may be performedby a group of computers (e.g., as examples of machines that includeprocessors), with these operations being accessible via a network (e.g.,the Internet) and via one or more appropriate interfaces (e.g., anapplication program interface (API)). The performance of certainoperations may be distributed among the one or more processors, whetherresiding only within a single machine or deployed across a number ofmachines. In some example embodiments, the one or more processors orhardware modules (e.g., processor-implemented modules) may be located ina single geographic location (e.g., within a home environment, an officeenvironment, or a server farm). In other example embodiments, the one ormore processors or hardware modules may be distributed across a numberof geographic locations.

FIG. 11 and FIG. 12 are diagrams illustrating screenshots of an ARobject 1112 before and after conditional modification of the AR object1112, according to some example embodiments. As shown in FIG. 11, thedevice 130 is being used by the user 132 in a real-world scene 1100 anda camera of the device 130 is capturing a view of the real world scene1100. In addition, a display screen of the device 130 depicts an ARscene 1110 that combines the real world scene 1100 with the AR object1112. Specifically, the AR object 1112 is depicted with apre-modification (e.g., first) appearance (e.g., a miniaturehippopotamus), in accordance with its defining object data (e.g., objectdata 300) prior to the modification process described above.

As shown in FIG. 12, the display screen of the device 130 continues todetect the AR scene 1110, and the AR scene 1110 continues to combine thereal world scene 1100 with the AR object 1112. However, the AR object1112 is now depicted with a post-modification (e.g., second) appearance(e.g., a miniature hippopotamus with elephant ears and elephant tusks)in accordance with its defining object data (e.g., object data 300)after the modification process described above.

Throughout this specification, plural instances may implementcomponents, operations, or structures described as a single instance.Although individual operations of one or more methods are illustratedand described as separate operations, one or more of the individualoperations may be performed concurrently, and nothing requires that theoperations be performed in the order illustrated. Structures and theirfunctionality presented as separate components and functions in exampleconfigurations may be implemented as a combined structure or componentwith combined functions. Similarly, structures and functionalitypresented as a single component may be implemented as separatecomponents and functions. These and other variations, modifications,additions, and improvements fall within the scope of the subject matterherein.

Some portions of the subject matter discussed herein may be presented interms of algorithms or symbolic representations of operations on datastored as bits or binary digital signals within a memory (e.g., acomputer memory or other machine memory). Such algorithms or symbolicrepresentations are examples of techniques used by those of ordinaryskill in the data processing arts to convey the substance of their workto others skilled in the art. As used herein, an “algorithm” is aself-consistent sequence of operations or similar processing leading toa desired result. In this context, algorithms and operations involvephysical manipulation of physical quantities. Typically, but notnecessarily, such quantities may take the form of electrical, magnetic,or optical signals capable of being stored, accessed, transferred,combined, compared, or otherwise manipulated by a machine. It isconvenient at times, principally for reasons of common usage, to referto such signals using words such as “data,” “content,” “bits,” “values,”“elements,” “symbols,” “characters,” “terms,” “numbers,” “numerals,” orthe like. These words, however, are merely convenient labels and are tobe associated with appropriate physical quantities.

Unless specifically stated otherwise, discussions herein using wordssuch as “accessing,” “processing,” “detecting,” “computing,”“calculating,” “determining,” “generating,” “presenting,” “displaying,”or the like refer to actions or processes performable by a machine(e.g., a computer) that manipulates or transforms data represented asphysical (e.g., electronic, magnetic, or optical) quantities within oneor more memories (e.g., volatile memory, non-volatile memory, or anysuitable combination thereof), registers, or other machine componentsthat receive, store, transmit, or display information. Furthermore,unless specifically stated otherwise, the terms “a” or “an” are hereinused, as is common in patent documents, to include one or more than oneinstance. Finally, as used herein, the conjunction “or” refers to anon-exclusive “or,” unless specifically stated otherwise.

The following enumerated descriptions describe various examples ofmethods, machine-readable media, and systems (e.g., machines, devices,or other apparatus) discussed herein.

A first example provides a method comprising:

providing, to a user device and by one or more processors of a machine,object data that defines an augmented reality (AR) object, the objectdata of the AR object specifying a physical geolocation of the ARobject, a presentation attribute of the AR object, a conditionalmodification program of the AR object, and a trigger condition forexecution of the conditional modification program, the provided objectdata causing the user device to present the AR object with a firstappearance and located at the physical geolocation;detecting, by one or more processors of the machine, fulfillment of thetrigger condition specified by the object data for execution of theconditional modification program of the AR object;based on the detected fulfillment of the trigger condition and by one ormore processors of the machine, executing the conditional modificationprogram of the AR object, the executing of the conditional modificationprogram modifying the object data of the AR object by modifying thepresentation attribute of the AR object; andproviding, to the user device and by one or more processors of themachine, the modified object data of the AR object, the modified objectdata causing the user device to present the AR object with a secondappearance based on the modified presentation attribute of the ARobject.

A second example provides a method according to the first example,wherein:

the presentation attribute of the AR object specifies a physicaldimension of the AR object; andthe executing of the conditional modification program modifies thephysical dimension of the AR object, the second appearance of the ARobject differing in size from the first appearance of the AR object.

A third example provides a method according to the first example or thesecond example, wherein:

the presentation attribute of the AR object specifies a color of atleast a portion of the AR object; andthe executing of the conditional modification program modifies a colorof the portion of the AR object, the second appearance of the AR objectat least partially differing in color from the first appearance of theAR object.

A fourth example provides a method according to any of the first throughthird examples, wherein:

the presentation attribute of the AR object specifies the physicalgeolocation of the AR object; andthe executing of the conditional modification program modifies thephysical geolocation of the AR object, the second appearance of the ARobject differing in physical geolocation from the first appearance ofthe AR object.

A fifth example provides a method according to any of the first throughfourth examples, further comprising:

receiving an indication that the user device submitted an edit to the ARobject; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object; and wherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the incremented interaction count to a thresholdinteraction count.

A sixth example provides a method according to any of the first throughfifth examples, further comprising:

receiving an indication that the user device edited the AR object for aperiod of time; andin response to the received indication, updating a total interactiontime that corresponds to the AR object based on the period of time; andwherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the updated total interaction time to a threshold totalinteraction time.

A seventh example provides a method according to any of the firstthrough sixth examples, further comprising:

receiving an indication that a device geolocation of the user deviceintersected the AR object; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object; and wherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the incremented interaction count to a thresholdinteraction count.

An eighth example provides a method according to any of the firstthrough seventh examples, further comprising:

receiving an indication that the user device edited the AR object andcorresponds to a user profile that specifies a demographic descriptor ofa user of the user device; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object and corresponds to thedemographic descriptor; and wherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the incremented interaction count to a thresholdinteraction count.

A ninth example provides a method according to any of the first througheighth examples, further comprising:

receiving an indication that the user device edited the AR object; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object; andgenerating a geographical map that includes a depiction of the edited ARobject, the depiction having a color that indicates a frequency at whichthe AR object is edited.

A tenth example provides a method according to the ninth example,wherein:

the user device is a first user device; andthe method further comprises:providing the generated geographical map to a second user device, theprovided geographical map including the depiction whose color indicatesthe frequency at which the AR object is edited.

An eleventh example provides a method according to any of the firstthrough tenth examples, further comprising:

receiving a user submission that includes the conditional modificationprogram, the trigger condition for execution of the conditionalmodification program, and a corresponding value accorded to theconditional modification program; andbased on the value accorded to the conditional modification program,determining a period of time during which the conditional modificationprogram is to be specified by the object data that defines the ARobject; and wherein:the detecting of the fulfillment of the trigger condition occurs withinthe determined period of time.

A twelfth example provides a method according to any of the firstthrough eleventh examples, wherein:

the trigger condition for executing the conditional modification programspecifies a threshold level of ambient audio loudness; andthe detecting of the fulfillment of the trigger condition includesreceiving an indication that a microphone of the user device detected anactual level of ambient audio loudness that transgresses the thresholdlevel of ambient audio loudness.

A thirteenth example provides a method according to any of the firstthrough twelfth examples, wherein:

the trigger condition for executing the conditional modification programspecifies a reference pattern of sounds; andthe detecting of the fulfillment of the trigger condition includesreceiving an indication that a microphone of the user device capturedthe reference pattern of sounds.

A fourteenth example provides a method according to any of the firstthrough thirteenth examples, further comprising:

receiving an indication that the user device is editing the AR object;and wherein:the detecting of the fulfillment of the trigger condition is based onthe received indication that the user device is editing the AR object;andthe executing of the conditional modification program adds an AR cursorto the second appearance of AR object, the added AR cursor indicating alocation of a non-committed edit to the AR object.

A fifteenth example provides a machine-readable medium (e.g., anon-transitory machine-readable storage medium) comprising instructionsthat, when executed by one or more processors of a machine, cause themachine to perform operations comprising:

providing, to a user device, object data that defines an augmentedreality (AR) object, the object data of the AR object specifying aphysical geolocation of the AR object, a presentation attribute of theAR object, a conditional modification program of the AR object, and atrigger condition for execution of the conditional modification program,the provided object data causing the user device to present the ARobject with a first appearance and located at the physical geolocation;

detecting, by one or more processors of the machine, fulfillment of thetrigger condition specified by the object data for execution of theconditional modification program of the AR object;based on the detected fulfillment of the trigger condition, executingthe conditional modification program of the AR object, the executing ofthe conditional modification program modifying the object data of the ARobject by modifying the presentation attribute of the AR object; andproviding, to the user device, the modified object data of the ARobject, the modified object data causing the user device to present theAR object with a second appearance based on the modified presentationattribute of the AR object.

A sixteenth example provides a machine-readable medium according to thefifteenth example, wherein the operations further comprise:

receiving an indication that the user device submitted an edit to the ARobject; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object; and wherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the incremented interaction count to a thresholdinteraction count.

A seventeenth example provides a machine-readable medium according tothe fifteenth example or the sixteenth example, wherein the operationsfurther comprise:

receiving an indication that a device geolocation of the user deviceintersected the AR object; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object; and wherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the incremented interaction count to a thresholdinteraction count.

An eighteenth example provides a system comprising:

one or more processors; anda memory storing instructions that, when executed by at least oneprocessor among the one or more processors, cause the system to performoperations comprising:providing, to a user device, object data that defines an augmentedreality (AR) object, the object data of the AR object specifying aphysical geolocation of the AR object, a presentation attribute of theAR object, a conditional modification program of the AR object, and atrigger condition for execution of the conditional modification program,the provided object data causing the user device to present the ARobject with a first appearance and located at the physical geolocation;detecting, by one or more processors of the machine, fulfillment of thetrigger condition specified by the object data for execution of theconditional modification program of the AR object;based on the detected fulfillment of the trigger condition, executingthe conditional modification program of the AR object, the executing ofthe conditional modification program modifying the object data of the ARobject by modifying the presentation attribute of the AR object; andproviding, to the user device, the modified object data of the ARobject, the modified object data causing the user device to present theAR object with a second appearance based on the modified presentationattribute of the AR object.

A nineteenth example provides a system according to the eighteenthexample, wherein the operations further comprise:

receiving an indication that the user device edited the AR object for aperiod of time; andin response to the received indication, updating a total interactiontime that corresponds to the AR object based on the period of time; andwherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the updated total interaction time to a threshold totalinteraction time.

A twentieth example provides a system according to the eighteenthexample or the nineteenth example, wherein the operations furthercomprise:

receiving an indication that the user device edited the AR object; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object; andgenerating a geographical map that includes a depiction of the edited ARobject, the depiction having a color that indicates a frequency at whichthe AR object is edited.

A twenty-first example provides a carrier medium carryingmachine-readable instructions for controlling a machine to carry out theoperations (e.g., method operations) performed in any one of thepreviously described examples.

What is claimed is:
 1. A method comprising: providing, to a user deviceand by one or more processors of a machine, object data that defines anaugmented reality (AR) object, the object data of the AR objectspecifying a physical geolocation of the AR object, a presentationattribute of the AR object, a conditional modification program of the ARobject, and a trigger condition for execution of the conditionalmodification program, the provided object data causing the user deviceto present the AR object with a first appearance and located at thephysical geolocation; receiving an indication that the user deviceedited the AR object and corresponds to a user profile that specifies ademographic descriptor of a user of the user device; in response to thereceived indication, incrementing an interaction count that correspondsto the AR object and corresponds to the demographic descriptor;detecting, by one or more processors of the machine, fulfillment of thetrigger condition specified by the object data for execution of theconditional modification program of the AR object, the fulfillment ofthe trigger condition being based on a comparison of the incrementedinteraction count to a threshold interaction count; based on thedetected fulfillment of the trigger condition and by one or moreprocessors of the machine, executing the conditional modificationprogram of the AR object, the executing of the conditional modificationprogram modifying the object data of the AR object by modifying thepresentation attribute of the AR object; and providing, to the userdevice and by one or more processors of the machine, the modified objectdata of the AR object, the modified object data causing the user deviceto present the AR object with a second appearance based on the modifiedpresentation attribute of the AR object.
 2. The method of claim 1,wherein: the presentation attribute of the AR object specifies aphysical dimension of the AR object; and the executing of theconditional modification program modifies the physical dimension of theAR object, the second appearance of the AR object differing in size fromthe first appearance of the AR object.
 3. The method of claim 1,wherein: the presentation attribute of the AR object specifies a colorof at least a portion of the AR object; and the executing of theconditional modification program modifies a color of the portion of theAR object, the second appearance of the AR object at least partiallydiffering in color from the first appearance of the AR object.
 4. Themethod of claim 1, wherein: the presentation attribute of the AR objectspecifies the physical geolocation of the AR object; and the executingof the conditional modification program modifies the physicalgeolocation of the AR object, the second appearance of the AR objectdiffering in physical geolocation from the first appearance of the ARobject.
 5. The method of claim 1, further comprising: receiving anindication that the user device submitted an edit to the AR object; andin response to the received indication, incrementing an interactioncount that corresponds to the AR object; and wherein: the detecting ofthe fulfillment of the trigger condition is based on a comparison of theincremented interaction count to a threshold interaction count.
 6. Themethod of claim 1, further comprising: receiving an indication that theuser device edited the AR object for a period of time; and in responseto the received indication, updating a total interaction time thatcorresponds to the AR object based on the period of time; and wherein:the detecting of the fulfillment of the trigger condition is based on acomparison of the updated total interaction time to a threshold totalinteraction time.
 7. The method of claim 1, further comprising:receiving an indication that a device geolocation of the user deviceintersected the AR object; and in response to the received indication,incrementing an interaction count that corresponds to the AR object; andwherein: the detecting of the fulfillment of the trigger condition isbased on a comparison of the incremented interaction count to athreshold interaction count.
 8. The method of claim 1, furthercomprising: receiving an indication that the user device edited the ARobject; in response to the received indication, incrementing aninteraction count that corresponds to the AR object; and generating ageographical map that includes a depiction of the edited AR object, thedepiction having a color that indicates a frequency at which the ARobject is edited.
 9. The method of claim 8, wherein: the user device isa first user device; and the method further comprises: providing thegenerated geographical map to a second user device, the providedgeographical map including the depiction whose color indicates thefrequency at which the AR object is edited.
 10. The method of claim 1,further comprising: receiving a user submission that includes theconditional modification program, the trigger condition for execution ofthe conditional modification program, and a corresponding value accordedto the conditional modification program; and based on the value accordedto the conditional modification program, determining a period of timeduring which the conditional modification program is to be specified bythe object data that defines the AR object; and wherein: the detectingof the fulfillment of the trigger condition occurs within the determinedperiod of time.
 11. The method of claim 1, wherein: the triggercondition for executing the conditional modification program specifies athreshold level of ambient audio loudness; and the detecting of thefulfillment of the trigger condition includes receiving an indicationthat a microphone of the user device detected an actual level of ambientaudio loudness that transgresses the threshold level of ambient audioloudness.
 12. The method of claim 1, wherein: the trigger condition forexecuting the conditional modification program specifies a referencepattern of sounds; and the detecting of the fulfillment of the triggercondition includes receiving an indication that a microphone of the userdevice captured the reference pattern of sounds.
 13. The method of claim1, further comprising: receiving an indication that the user device isediting the AR object; and wherein: the detecting of the fulfillment ofthe trigger condition is based on the received indication that the userdevice is editing the AR object; and the executing of the conditionalmodification program adds an AR cursor to the second appearance of ARobject, the added AR cursor indicating a location of a non-committededit to the AR object.
 14. A non-transitory machine-readable storagemedium comprising instructions that, when executed by one or moreprocessors of a machine, cause the machine to perform operationscomprising: providing, to a user device, object data that defines anaugmented reality (AR) object, the object data of the AR objectspecifying a physical geolocation of the AR object, a presentationattribute of the AR object, a conditional modification program of the ARobject, and a trigger condition for execution of the conditionalmodification program, the provided object data causing the user deviceto present the AR object with a first appearance and located at thephysical geolocation; receiving an indication that the user deviceedited the AR object and corresponds to a user profile that specifies ademographic descriptor of a user of the user device; in response to thereceived indication, incrementing an interaction count that correspondsto the AR object and corresponds to the demographic descriptor;detecting, by one or more processors of the machine, fulfillment of thetrigger condition specified by the object data for execution of theconditional modification program of the AR object, the fulfillment ofthe trigger condition being based on a comparison of the incrementedinteraction count to a threshold interaction count; based on thedetected fulfillment of the trigger condition, executing the conditionalmodification program of the AR object, the executing of the conditionalmodification program modifying the object data of the AR object bymodifying the presentation attribute of the AR object; and providing, tothe user device, the modified object data of the AR object, the modifiedobject data causing the user device to present the AR object with asecond appearance based on the modified presentation attribute of the ARobject.
 15. The non-transitory machine-readable storage medium of claim14, wherein the operations further comprise: receiving an indicationthat the user device submitted an edit to the AR object; and in responseto the received indication, incrementing an interaction count thatcorresponds to the AR object; and wherein: the detecting of thefulfillment of the trigger condition is based on a comparison of theincremented interaction count to a threshold interaction count.
 16. Thenon-transitory machine-readable storage medium of claim 14, wherein theoperations further comprise: receiving an indication that a devicegeolocation of the user device intersected the AR object; and inresponse to the received indication, incrementing an interaction countthat corresponds to the AR object; and wherein: the detecting of thefulfillment of the trigger condition is based on a comparison of theincremented interaction count to a threshold interaction count.
 17. Thenon-transitory machine-readable storage medium of claim 14, wherein: thepresentation attribute of the AR object specifies a physical dimensionof the AR object and the executing of the conditional modificationprogram modifies the physical dimension of the AR object, the secondappearance of the AR object differing in size from the first appearanceof the AR object.
 18. A system comprising: one or more processors; and amemory storing instructions that, when executed by at least oneprocessor among the one or more processors, cause the system to performoperations comprising: providing, to a user device, object data thatdefines an augmented reality (AR) object, the object data of the ARobject specifying a physical geolocation of the AR object, apresentation attribute of the AR object, a conditional modificationprogram of the AR object, and a trigger condition for execution of theconditional modification program, the provided object data causing theuser device to present the AR object with a first appearance and locatedat the physical geolocation; receiving an indication that the userdevice edited the AR object and corresponds to a user profile thatspecifies a demographic descriptor of a user of the user device; inresponse to the received indication, incrementing an interaction countthat corresponds to the AR object and corresponds to the demographicdescriptor; detecting, by one or more processors of the system,fulfillment of the trigger condition specified by the object data forexecution of the conditional modification program of the AR object, thefulfillment of the trigger condition being based on a comparison of theincremented interaction count to a threshold interaction count; based onthe detected fulfillment of the trigger condition, executing theconditional modification program of the AR object, the executing of theconditional modification program modifying the object data of the ARobject by modifying the presentation attribute of the AR object; andproviding, to the user device, the modified object data of the ARobject, the modified object data causing the user device to present theAR object with a second appearance based on the modified presentationattribute of the AR object.
 19. The system of claim 18, wherein theoperations further comprise: receiving an indication that the userdevice edited the AR object for a period of time; and in response to thereceived indication, updating a total interaction time that correspondsto the AR object based on the period of time; and wherein: the detectingof the fulfillment of the trigger condition is based on a comparison ofthe updated total interaction time to a threshold total interactiontime.
 20. The system of claim 18, wherein the operations furthercomprise: receiving an indication that the user device edited the ARobject; in response to the received indication, incrementing aninteraction count that corresponds to the AR object; and generating ageographical map that includes a depiction of the edited AR object, thedepiction having a color that indicates a frequency at which the ARobject is edited.